Failed Shuffles=0、

这是一个非常简单的问题，Failed Shuffles=0是指在一个MapReduce任务中，数据的shuffle阶段没有发生失败的情况。Shuffle阶段是MapReduce任务的一个重要组成部分，它负责将Map阶段输出的中间结果进行排序、分区以及合并等操作，然后传输给Reduce节点进行处理。如果在shuffle阶段出现了失败，可能会导致整个任务失败或者产生错误的输出结果。因此，Failed Shuffles=0是一个很好的指标，可以反映出任务的健康状况。

相关问题

shuffling is a procedure used to randomize a deck of playing cards. because standard shuffling techniques are seen as weak, and in order to avoid "inside jobs" where employees collaborate with gamblers by performing inadequate shuffles, many casinos emplo

y automatic shuffling machines. These machines can shuffle multiple decks of cards at once and ensure a completely random distribution of cards, making it more difficult for any cheating to occur.

翻译一下 shuffle_data = merge_data.sample(frac=1.0) shuffle_data = shuffle_data.reset_index(drop=True)

Sure, I can translate that for you. "shuffle_data = merge_data.sample(frac=1.0)" means that the code randomly samples (or shuffles) the data in "merge_data" with a fraction of 1.0, which means all the data will be included in the shuffle. "shuffle_data = shuffle_data.reset_index(drop=True)" means that the code resets the index of the shuffled data to a new sequence, starting from 0 and dropping the old index. Is there anything else you would like to ask?